Overview

Dataset statistics

Number of variables17
Number of observations274206
Missing cells86149
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory460.3 MiB
Average record size in memory1.7 KiB

Variable types

Numeric5
Text8
Categorical3
DateTime1

Alerts

Latitude is highly overall correlated with StateHigh correlation
Longitude is highly overall correlated with StateHigh correlation
State is highly overall correlated with Latitude and 1 other fieldsHigh correlation
State is highly imbalanced (> 99.9%)Imbalance
Facility Type has 5147 (1.9%) missing valuesMissing
Violations has 75323 (27.5%) missing valuesMissing
Zip is highly skewed (γ1 = -110.0758636)Skewed
Inspection ID has unique valuesUnique

Reproduction

Analysis started2024-06-30 09:15:44.474837
Analysis finished2024-06-30 09:18:02.456854
Duration2 minutes and 17.98 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

UNIQUE 

Distinct274206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1750722.3
Minimum44247
Maximum2596677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 MiB
2024-06-30T09:18:02.664873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum44247
5-th percentile343229.25
Q11321525.2
median1960998.5
Q32369976.8
95-th percentile2582101.8
Maximum2596677
Range2552430
Interquartile range (IQR)1048451.5

Descriptive statistics

Standard deviation722961.14
Coefficient of variation (CV)0.41295021
Kurtosis-0.63398057
Mean1750722.3
Median Absolute Deviation (MAD)558958
Skewness-0.6494091
Sum4.8005856 × 1011
Variance5.2267281 × 1011
MonotonicityNot monotonic
2024-06-30T09:18:03.008301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2596617 1
 
< 0.1%
1537311 1
 
< 0.1%
1522959 1
 
< 0.1%
1441765 1
 
< 0.1%
1523054 1
 
< 0.1%
1527638 1
 
< 0.1%
1418935 1
 
< 0.1%
1532344 1
 
< 0.1%
1445299 1
 
< 0.1%
1532713 1
 
< 0.1%
Other values (274196) 274196
> 99.9%
ValueCountFrequency (%)
44247 1
< 0.1%
44248 1
< 0.1%
44249 1
< 0.1%
44250 1
< 0.1%
44251 1
< 0.1%
44252 1
< 0.1%
44253 1
< 0.1%
44254 1
< 0.1%
44255 1
< 0.1%
44256 1
< 0.1%
ValueCountFrequency (%)
2596677 1
< 0.1%
2596676 1
< 0.1%
2596675 1
< 0.1%
2596674 1
< 0.1%
2596673 1
< 0.1%
2596669 1
< 0.1%
2596668 1
< 0.1%
2596661 1
< 0.1%
2596660 1
< 0.1%
2596658 1
< 0.1%
Distinct32598
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size19.8 MiB
2024-06-30T09:18:03.555808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length79
Median length49
Mean length18.736651
Min length1

Characters and Unicode

Total characters5137702
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6003 ?
Unique (%)2.2%

Sample

1st rowDELICIAS MEXICANA RESTAURANT
2nd rowDARDASHE INC.
3rd rowFOOD FIRST CHICAGO
4th rowTHE PRESS ROOM
5th rowTROHA'S CHICKEN & SHRIMP
ValueCountFrequency (%)
inc 27622
 
3.3%
27079
 
3.2%
restaurant 15807
 
1.9%
food 11617
 
1.4%
the 11264
 
1.4%
cafe 9010
 
1.1%
chicago 7905
 
0.9%
grill 7511
 
0.9%
and 6725
 
0.8%
pizza 6621
 
0.8%
Other values (19133) 702766
84.3%
2024-06-30T09:18:04.506838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
565156
 
11.0%
A 422465
 
8.2%
E 418626
 
8.1%
R 306621
 
6.0%
I 296687
 
5.8%
O 293667
 
5.7%
N 285746
 
5.6%
S 282448
 
5.5%
T 253703
 
4.9%
C 238431
 
4.6%
Other values (73) 1774152
34.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5137702
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
565156
 
11.0%
A 422465
 
8.2%
E 418626
 
8.1%
R 306621
 
6.0%
I 296687
 
5.8%
O 293667
 
5.7%
N 285746
 
5.6%
S 282448
 
5.5%
T 253703
 
4.9%
C 238431
 
4.6%
Other values (73) 1774152
34.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5137702
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
565156
 
11.0%
A 422465
 
8.2%
E 418626
 
8.1%
R 306621
 
6.0%
I 296687
 
5.8%
O 293667
 
5.7%
N 285746
 
5.6%
S 282448
 
5.5%
T 253703
 
4.9%
C 238431
 
4.6%
Other values (73) 1774152
34.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5137702
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
565156
 
11.0%
A 422465
 
8.2%
E 418626
 
8.1%
R 306621
 
6.0%
I 296687
 
5.8%
O 293667
 
5.7%
N 285746
 
5.6%
S 282448
 
5.5%
T 253703
 
4.9%
C 238431
 
4.6%
Other values (73) 1774152
34.5%
Distinct31019
Distinct (%)11.4%
Missing2466
Missing (%)0.9%
Memory size19.5 MiB
2024-06-30T09:18:05.076494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length79
Median length49
Mean length17.909619
Min length2

Characters and Unicode

Total characters4866760
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5822 ?
Unique (%)2.1%

Sample

1st rowDELICIAS MEXICANA
2nd rowDARDASHE
3rd rowFOOD FIRST CHICAGO
4th rowTHE PRESS ROOM
5th rowTROHA'S CHICKEN & SHRIMP
ValueCountFrequency (%)
25041
 
3.2%
restaurant 15100
 
1.9%
inc 12664
 
1.6%
food 11285
 
1.4%
the 10871
 
1.4%
cafe 9701
 
1.2%
grill 7647
 
1.0%
school 7099
 
0.9%
pizza 6764
 
0.9%
la 6505
 
0.8%
Other values (18453) 674643
85.7%
2024-06-30T09:18:05.992825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
521727
 
10.7%
A 412351
 
8.5%
E 407926
 
8.4%
R 294972
 
6.1%
O 281016
 
5.8%
S 275244
 
5.7%
I 270466
 
5.6%
N 262440
 
5.4%
T 245438
 
5.0%
C 211803
 
4.4%
Other values (77) 1683377
34.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4866760
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
521727
 
10.7%
A 412351
 
8.5%
E 407926
 
8.4%
R 294972
 
6.1%
O 281016
 
5.8%
S 275244
 
5.7%
I 270466
 
5.6%
N 262440
 
5.4%
T 245438
 
5.0%
C 211803
 
4.4%
Other values (77) 1683377
34.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4866760
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
521727
 
10.7%
A 412351
 
8.5%
E 407926
 
8.4%
R 294972
 
6.1%
O 281016
 
5.8%
S 275244
 
5.7%
I 270466
 
5.6%
N 262440
 
5.4%
T 245438
 
5.0%
C 211803
 
4.4%
Other values (77) 1683377
34.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4866760
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
521727
 
10.7%
A 412351
 
8.5%
E 407926
 
8.4%
R 294972
 
6.1%
O 281016
 
5.8%
S 275244
 
5.7%
I 270466
 
5.6%
N 262440
 
5.4%
T 245438
 
5.0%
C 211803
 
4.4%
Other values (77) 1683377
34.6%

License #
Real number (ℝ)

Distinct45181
Distinct (%)16.5%
Missing18
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1733651.7
Minimum0
Maximum9999999
Zeros707
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.1 MiB
2024-06-30T09:18:06.340852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18001.4
Q11354323
median2055681
Q32385108
95-th percentile2791454
Maximum9999999
Range9999999
Interquartile range (IQR)1030785

Descriptive statistics

Standard deviation929951.19
Coefficient of variation (CV)0.53641177
Kurtosis-0.41208793
Mean1733651.7
Median Absolute Deviation (MAD)420790
Skewness-0.89930669
Sum4.753465 × 1011
Variance8.6480922 × 1011
MonotonicityNot monotonic
2024-06-30T09:18:06.657003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 707
 
0.3%
1354323 198
 
0.1%
14616 182
 
0.1%
1574001 87
 
< 0.1%
60184 64
 
< 0.1%
2083833 62
 
< 0.1%
1974745 59
 
< 0.1%
1142451 59
 
< 0.1%
25152 56
 
< 0.1%
1884255 56
 
< 0.1%
Other values (45171) 272658
99.4%
ValueCountFrequency (%)
0 707
0.3%
1 1
 
< 0.1%
2 17
 
< 0.1%
9 15
 
< 0.1%
40 21
 
< 0.1%
43 1
 
< 0.1%
62 18
 
< 0.1%
85 5
 
< 0.1%
99 13
 
< 0.1%
104 1
 
< 0.1%
ValueCountFrequency (%)
9999999 1
 
< 0.1%
8700606 3
< 0.1%
5852857 1
 
< 0.1%
4076728 1
 
< 0.1%
4076132 2
< 0.1%
4075924 2
< 0.1%
4075688 1
 
< 0.1%
4075628 2
< 0.1%
4075597 1
 
< 0.1%
4075446 1
 
< 0.1%

Facility Type
Text

MISSING 

Distinct517
Distinct (%)0.2%
Missing5147
Missing (%)1.9%
Memory size17.6 MiB
2024-06-30T09:18:07.001315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length47
Median length10
Mean length11.109708
Min length3

Characters and Unicode

Total characters2989167
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)< 0.1%

Sample

1st rowRestaurant
2nd rowGrocery Store
3rd rowCatering
4th rowRestaurant
5th rowRestaurant
ValueCountFrequency (%)
restaurant 184627
50.6%
store 34193
 
9.4%
grocery 34059
 
9.3%
school 17766
 
4.9%
daycare 7940
 
2.2%
2 7137
 
2.0%
years 7133
 
2.0%
facility 6123
 
1.7%
services 6059
 
1.7%
children's 5975
 
1.6%
Other values (447) 53524
 
14.7%
2024-06-30T09:18:07.654056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 413713
13.8%
a 413572
13.8%
r 335932
11.2%
e 316408
10.6%
s 208376
7.0%
n 206842
6.9%
R 189841
 
6.4%
u 186089
 
6.2%
o 120938
 
4.0%
95491
 
3.2%
Other values (59) 501965
16.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2989167
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
t 413713
13.8%
a 413572
13.8%
r 335932
11.2%
e 316408
10.6%
s 208376
7.0%
n 206842
6.9%
R 189841
 
6.4%
u 186089
 
6.2%
o 120938
 
4.0%
95491
 
3.2%
Other values (59) 501965
16.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2989167
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
t 413713
13.8%
a 413572
13.8%
r 335932
11.2%
e 316408
10.6%
s 208376
7.0%
n 206842
6.9%
R 189841
 
6.4%
u 186089
 
6.2%
o 120938
 
4.0%
95491
 
3.2%
Other values (59) 501965
16.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2989167
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
t 413713
13.8%
a 413572
13.8%
r 335932
11.2%
e 316408
10.6%
s 208376
7.0%
n 206842
6.9%
R 189841
 
6.4%
u 186089
 
6.2%
o 120938
 
4.0%
95491
 
3.2%
Other values (59) 501965
16.8%

Risk
Categorical

Distinct4
Distinct (%)< 0.1%
Missing80
Missing (%)< 0.1%
Memory size18.4 MiB
Risk 1 (High)
201635 
Risk 2 (Medium)
50139 
Risk 3 (Low)
22297 
All
 
55

Length

Max length15
Median length13
Mean length13.282465
Min length3

Characters and Unicode

Total characters3641069
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRisk 1 (High)
2nd rowRisk 1 (High)
3rd rowRisk 1 (High)
4th rowRisk 1 (High)
5th rowRisk 1 (High)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 201635
73.5%
Risk 2 (Medium) 50139
 
18.3%
Risk 3 (Low) 22297
 
8.1%
All 55
 
< 0.1%
(Missing) 80
 
< 0.1%

Length

2024-06-30T09:18:07.942992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-30T09:18:08.217502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
risk 274071
33.3%
1 201635
24.5%
high 201635
24.5%
2 50139
 
6.1%
medium 50139
 
6.1%
3 22297
 
2.7%
low 22297
 
2.7%
all 55
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
548142
15.1%
i 525845
14.4%
R 274071
7.5%
s 274071
7.5%
k 274071
7.5%
( 274071
7.5%
) 274071
7.5%
1 201635
 
5.5%
H 201635
 
5.5%
g 201635
 
5.5%
Other values (13) 591822
16.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3641069
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
548142
15.1%
i 525845
14.4%
R 274071
7.5%
s 274071
7.5%
k 274071
7.5%
( 274071
7.5%
) 274071
7.5%
1 201635
 
5.5%
H 201635
 
5.5%
g 201635
 
5.5%
Other values (13) 591822
16.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3641069
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
548142
15.1%
i 525845
14.4%
R 274071
7.5%
s 274071
7.5%
k 274071
7.5%
( 274071
7.5%
) 274071
7.5%
1 201635
 
5.5%
H 201635
 
5.5%
g 201635
 
5.5%
Other values (13) 591822
16.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3641069
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
548142
15.1%
i 525845
14.4%
R 274071
7.5%
s 274071
7.5%
k 274071
7.5%
( 274071
7.5%
) 274071
7.5%
1 201635
 
5.5%
H 201635
 
5.5%
g 201635
 
5.5%
Other values (13) 591822
16.3%
Distinct19761
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size19.8 MiB
2024-06-30T09:18:08.869261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length52
Median length40
Mean length18.612897
Min length1

Characters and Unicode

Total characters5103768
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2077 ?
Unique (%)0.8%

Sample

1st row4148 W 26TH ST
2nd row4738-4746 N KEDZIE AVE
3rd row741 S WESTERN AVE
4th row1134 W WASHINGTON BLVD
5th row4151 W 26TH ST
ValueCountFrequency (%)
ave 127004
 
11.4%
w 108809
 
9.8%
st 99462
 
8.9%
n 82109
 
7.4%
s 60941
 
5.5%
e 22285
 
2.0%
rd 16343
 
1.5%
clark 9734
 
0.9%
western 6919
 
0.6%
halsted 6878
 
0.6%
Other values (8777) 571349
51.4%
2024-06-30T09:18:09.795938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1112289
21.8%
E 311181
 
6.1%
A 295011
 
5.8%
S 251733
 
4.9%
N 214087
 
4.2%
T 210047
 
4.1%
1 206601
 
4.0%
0 167638
 
3.3%
R 163152
 
3.2%
W 159461
 
3.1%
Other values (62) 2012568
39.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5103768
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1112289
21.8%
E 311181
 
6.1%
A 295011
 
5.8%
S 251733
 
4.9%
N 214087
 
4.2%
T 210047
 
4.1%
1 206601
 
4.0%
0 167638
 
3.3%
R 163152
 
3.2%
W 159461
 
3.1%
Other values (62) 2012568
39.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5103768
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1112289
21.8%
E 311181
 
6.1%
A 295011
 
5.8%
S 251733
 
4.9%
N 214087
 
4.2%
T 210047
 
4.1%
1 206601
 
4.0%
0 167638
 
3.3%
R 163152
 
3.2%
W 159461
 
3.1%
Other values (62) 2012568
39.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5103768
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1112289
21.8%
E 311181
 
6.1%
A 295011
 
5.8%
S 251733
 
4.9%
N 214087
 
4.2%
T 210047
 
4.1%
1 206601
 
4.0%
0 167638
 
3.3%
R 163152
 
3.2%
W 159461
 
3.1%
Other values (62) 2012568
39.4%

City
Text

Distinct81
Distinct (%)< 0.1%
Missing164
Missing (%)0.1%
Memory size16.7 MiB
2024-06-30T09:18:10.287980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length20
Median length7
Mean length7.0028536
Min length2

Characters and Unicode

Total characters1919076
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)< 0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO
ValueCountFrequency (%)
chicago 273714
99.8%
cchicago 55
 
< 0.1%
schaumburg 28
 
< 0.1%
park 21
 
< 0.1%
evanston 19
 
< 0.1%
maywood 16
 
< 0.1%
grove 14
 
< 0.1%
niles 14
 
< 0.1%
elk 13
 
< 0.1%
village 13
 
< 0.1%
Other values (83) 230
 
0.1%
2024-06-30T09:18:11.289845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 547057
28.5%
A 273416
14.2%
I 273377
14.2%
O 273372
14.2%
H 273333
14.2%
G 273307
14.2%
c 729
 
< 0.1%
o 589
 
< 0.1%
i 588
 
< 0.1%
a 588
 
< 0.1%
Other values (34) 2720
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1919076
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 547057
28.5%
A 273416
14.2%
I 273377
14.2%
O 273372
14.2%
H 273333
14.2%
G 273307
14.2%
c 729
 
< 0.1%
o 589
 
< 0.1%
i 588
 
< 0.1%
a 588
 
< 0.1%
Other values (34) 2720
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1919076
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 547057
28.5%
A 273416
14.2%
I 273377
14.2%
O 273372
14.2%
H 273333
14.2%
G 273307
14.2%
c 729
 
< 0.1%
o 589
 
< 0.1%
i 588
 
< 0.1%
a 588
 
< 0.1%
Other values (34) 2720
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1919076
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 547057
28.5%
A 273416
14.2%
I 273377
14.2%
O 273372
14.2%
H 273333
14.2%
G 273307
14.2%
c 729
 
< 0.1%
o 589
 
< 0.1%
i 588
 
< 0.1%
a 588
 
< 0.1%
Other values (34) 2720
 
0.1%

State
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing60
Missing (%)< 0.1%
Memory size15.4 MiB
IL
274134 
IN
 
8
CA
 
2
WI
 
1
NY
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters548292
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 274134
> 99.9%
IN 8
 
< 0.1%
CA 2
 
< 0.1%
WI 1
 
< 0.1%
NY 1
 
< 0.1%
(Missing) 60
 
< 0.1%

Length

2024-06-30T09:18:11.739831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-30T09:18:12.217400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
il 274134
> 99.9%
in 8
 
< 0.1%
ca 2
 
< 0.1%
wi 1
 
< 0.1%
ny 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
I 274143
50.0%
L 274134
50.0%
N 9
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 548292
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
I 274143
50.0%
L 274134
50.0%
N 9
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 548292
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
I 274143
50.0%
L 274134
50.0%
N 9
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 548292
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
I 274143
50.0%
L 274134
50.0%
N 9
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%
W 1
 
< 0.1%
Y 1
 
< 0.1%

Zip
Real number (ℝ)

SKEWED 

Distinct123
Distinct (%)< 0.1%
Missing52
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60628.634
Minimum10014
Maximum90504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 MiB
2024-06-30T09:18:12.724576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10014
5-th percentile60605
Q160614
median60625
Q360643
95-th percentile60659
Maximum90504
Range80490
Interquartile range (IQR)29

Descriptive statistics

Standard deviation149.58141
Coefficient of variation (CV)0.0024671743
Kurtosis61509.177
Mean60628.634
Median Absolute Deviation (MAD)14
Skewness-110.07586
Sum1.6621583 × 1010
Variance22374.598
MonotonicityNot monotonic
2024-06-30T09:18:13.249103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60614 10132
 
3.7%
60647 9914
 
3.6%
60657 9355
 
3.4%
60611 8612
 
3.1%
60618 8532
 
3.1%
60622 8415
 
3.1%
60608 8342
 
3.0%
60625 7788
 
2.8%
60607 7578
 
2.8%
60640 7375
 
2.7%
Other values (113) 188111
68.6%
ValueCountFrequency (%)
10014 1
 
< 0.1%
46319 1
 
< 0.1%
46394 1
 
< 0.1%
46410 6
< 0.1%
53061 1
 
< 0.1%
60007 13
< 0.1%
60015 2
 
< 0.1%
60018 4
 
< 0.1%
60022 1
 
< 0.1%
60035 4
 
< 0.1%
ValueCountFrequency (%)
90504 1
 
< 0.1%
90067 1
 
< 0.1%
60827 225
 
0.1%
60805 4
 
< 0.1%
60804 9
 
< 0.1%
60803 3
 
< 0.1%
60714 7
 
< 0.1%
60707 1563
0.6%
60706 4
 
< 0.1%
60666 3398
1.2%
Distinct3653
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.1 MiB
Minimum2010-01-04 00:00:00
Maximum2024-06-21 00:00:00
2024-06-30T09:18:13.747442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:18:14.287406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct110
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size17.7 MiB
2024-06-30T09:18:14.824925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length41
Median length7
Mean length10.650929
Min length3

Characters and Unicode

Total characters2920538
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)< 0.1%

Sample

1st rowCanvass
2nd rowLicense Re-Inspection
3rd rowCanvass
4th rowCanvass
5th rowCanvass Re-Inspection
ValueCountFrequency (%)
canvass 172793
49.3%
re-inspection 53242
 
15.2%
license 48349
 
13.8%
complaint 45172
 
12.9%
short 8533
 
2.4%
form 8533
 
2.4%
non-inspection 3166
 
0.9%
suspected 1192
 
0.3%
food 1192
 
0.3%
poisoning 1192
 
0.3%
Other values (122) 7099
 
2.0%
2024-06-30T09:18:15.844321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 456402
15.6%
a 394086
13.5%
n 388845
13.3%
C 219085
 
7.5%
e 213729
 
7.3%
v 173521
 
5.9%
i 155712
 
5.3%
o 130919
 
4.5%
t 114489
 
3.9%
c 108482
 
3.7%
Other values (51) 565268
19.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2920538
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 456402
15.6%
a 394086
13.5%
n 388845
13.3%
C 219085
 
7.5%
e 213729
 
7.3%
v 173521
 
5.9%
i 155712
 
5.3%
o 130919
 
4.5%
t 114489
 
3.9%
c 108482
 
3.7%
Other values (51) 565268
19.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2920538
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 456402
15.6%
a 394086
13.5%
n 388845
13.3%
C 219085
 
7.5%
e 213729
 
7.3%
v 173521
 
5.9%
i 155712
 
5.3%
o 130919
 
4.5%
t 114489
 
3.9%
c 108482
 
3.7%
Other values (51) 565268
19.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2920538
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 456402
15.6%
a 394086
13.5%
n 388845
13.3%
C 219085
 
7.5%
e 213729
 
7.3%
v 173521
 
5.9%
i 155712
 
5.3%
o 130919
 
4.5%
t 114489
 
3.9%
c 108482
 
3.7%
Other values (51) 565268
19.4%

Results
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.8 MiB
Pass
141078 
Fail
53612 
Pass w/ Conditions
41734 
Out of Business
23040 
No Entry
 
11113
Other values (2)
 
3629

Length

Max length20
Median length4
Mean length7.2868354
Min length4

Characters and Unicode

Total characters1998094
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPass
2nd rowPass
3rd rowPass
4th rowFail
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 141078
51.4%
Fail 53612
 
19.6%
Pass w/ Conditions 41734
 
15.2%
Out of Business 23040
 
8.4%
No Entry 11113
 
4.1%
Not Ready 3542
 
1.3%
Business Not Located 87
 
< 0.1%

Length

2024-06-30T09:18:16.147671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-30T09:18:16.445712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
pass 182812
43.7%
fail 53612
 
12.8%
w 41734
 
10.0%
conditions 41734
 
10.0%
business 23127
 
5.5%
out 23040
 
5.5%
of 23040
 
5.5%
no 11113
 
2.7%
entry 11113
 
2.7%
not 3629
 
0.9%
Other values (2) 3629
 
0.9%

Most occurring characters

ValueCountFrequency (%)
s 476739
23.9%
a 240053
12.0%
P 182812
 
9.1%
i 160207
 
8.0%
144377
 
7.2%
o 121337
 
6.1%
n 117708
 
5.9%
t 79603
 
4.0%
l 53612
 
2.7%
F 53612
 
2.7%
Other values (16) 368034
18.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1998094
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 476739
23.9%
a 240053
12.0%
P 182812
 
9.1%
i 160207
 
8.0%
144377
 
7.2%
o 121337
 
6.1%
n 117708
 
5.9%
t 79603
 
4.0%
l 53612
 
2.7%
F 53612
 
2.7%
Other values (16) 368034
18.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1998094
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 476739
23.9%
a 240053
12.0%
P 182812
 
9.1%
i 160207
 
8.0%
144377
 
7.2%
o 121337
 
6.1%
n 117708
 
5.9%
t 79603
 
4.0%
l 53612
 
2.7%
F 53612
 
2.7%
Other values (16) 368034
18.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1998094
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 476739
23.9%
a 240053
12.0%
P 182812
 
9.1%
i 160207
 
8.0%
144377
 
7.2%
o 121337
 
6.1%
n 117708
 
5.9%
t 79603
 
4.0%
l 53612
 
2.7%
F 53612
 
2.7%
Other values (16) 368034
18.4%

Violations
Text

MISSING 

Distinct197574
Distinct (%)99.3%
Missing75323
Missing (%)27.5%
Memory size245.5 MiB
2024-06-30T09:18:17.208284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length11620
Median length5050
Mean length1221.5576
Min length30

Characters and Unicode

Total characters242947031
Distinct characters100
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196633 ?
Unique (%)98.9%

Sample

1st row47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED FOOD ITEMS STORED INSIDE GROCERY BAGS IN WALK IN COOLER AND CHEST FREEZER. INSTRUCTED TO PROVIDE FOOD GRADE STORAGE BAGS OR CONTAINERS. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: OBSERVED THE SURROUNDING AREAS OF OUTSIDE RECEPTACLES WITH ACCUMULATED TRASH, INSTRUCTED TO REMOVE AND MAINTAIN AREA.
2nd row38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED AN APPX. 2' x 3' GAP IN THE LEFT CORNER OF THE FRONT ENTRY DOOR, ON THE FLOOR RIGHT BELOW THE BASEBOARD.MUST SEAL TO PREVENT THE PEST ENTRANCE.
3rd row1. PERSON IN CHARGE PRESENT, DEMONSTRATES KNOWLEDGE, AND PERFORMS DUTIES - Comments: OBSERVED NO PERSON IN CHARGE WITH VALID CHICAGO FOOD SANITATION CERTIFICATE. | 2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO CERTIFIED FOOD MANAGER ON DUTY WHILE TCS FOODS ARE BEING PREPARED, HANDLED, AND SERVED, SUCH AS (OYSTERS, LAMB, AND EGGS) MUST BE ON SITE AT ALL TIMES. PRIORITY FOUNDATION 7-38-012. CITATION ISSUED. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND WASHING PROVISION AT THE BAR HAND SINK. THE MANAGER ADDED TOWELS DURING THE INSPECTION. PRIORITY FOUNDATION VIOLATION #7-38-030(C). CITATION ISSUED. INSTRUCTED TO MAINTAIN. | 23. PROPER DATE MARKING AND DISPOSITION - Comments: 'OBSERVED READY-TO-EAT, TIME/TEMPERATURE CONTROL FOR SAFETY (TCS) FOODS (DELI MEAT) NOT DATE MARKED TO INDICATE THE PRODUCT'S NAME AND DATE IN WHICH THE FOOD MUST BE SOLD, DISCARDED OR CONSUMED WITHIN 7 DAYS. INSTRUCTED TO PROVIDE PROPER LABELS FOR DATE MARKING AND DISCARD DATE FOR REFRIGERATED, READY-TO-EAT, TCS FOODS HELD OVER 24HRS PLACED IN ALL COLD-HOLDING UNITS. THE MANAGER VOLUNTARILY DISCARDED ALL FOOD THAT WAS NOT DATE-MARKED. PRIORITY FOUNDATION VIOLATION #7-38-005. CITATION ISSUED. | 25. CONSUMER ADVISORY PROVIDED FOR RAW/UNDERCOOKED FOOD - Comments: OBSERVED MENU WITH A FOOTNOTE REMINDER STATEMENT ON THE MENU AND MISSING DISCLOSURE BY ASTERICKS FOR RELATED MENU ITEMS. INSTRUCTED TO PROVIDE BOTH DISCLOSURE STATEMENT AND REMINDER ON THE MENU FOR RAW OR UNCOOKED ANIMAL-BASED FOOD ITEMS OFFERED (EX. RAW OYSTERS AND ITEMS. (REFER TO THE ONLINE CDPH CONSUMER ADVISORY GUIDE). PRIORITY FOUNDATION VIOLATION #7-38-005. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED EVIDENCE OF RODENT ACTIVITY ON THE PREMISES. OBSERVED APPROXIMATELY 10 RAT DROPPINGS ON THE FLOOR NEXT TO THE REAR EXIT DOOR OF THE STORAGE AREA. MANAGEMENT INSTRUCTED TO CLEAN AND REMOVE ALL RODENT DROPPINGS FROM ALL AFFECTED AREAS. ADDITIONAL PEST CONTROL SERVICE IS NEEDED TO ELIMINATE THE PEST ACTIVITY. PRIORITY FOUNDATION #7-38-020(A). CITATION ISSUED. | 39. CONTAMINATION PREVENTED DURING FOOD PREPARATION, STORAGE & DISPLAY - Comments: OBSERVED FOOD CONTAINERS STORED ON THE FLOOR IN THE WALK-IN COOLER, PREP AND STORAGE AREAS. INSTRUCTED MANAGER TO PROPERLY STORE AND PROTECT FOOD ITEMS FROM CONTAMINATION WHILE STORED BY ELEVATING AT LEAST SIX INCHES FROM THE FLOOR ON RAISED SHELVING UNITS. | 48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED NO CHEMICAL TEST KIT AVAILABLE DURING INSPECTION. INSTRUCTED MANAGER TO PROVIDE TEST KIT FOR PROPER CONCENTRATION IN SANITIZING SOLUTIONS. PRIORITY FOUNDATION 7-38-005 CITATION ISSUED. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED HANDSINK IN WINE TASTING WITH SLOW DRAIN. INSTRUCTED TO REPAIR AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED GREASE BUILDUP, FOOD DEBRIS, AND DIRT ON THE FLOOR UNDER COOKING EQUIPMENT, ALONG WALLS, AND IN ALL CORNERS IN PREP, DISH WASHING, AND STORAGE. INSTRUCTED TO CLEAN AND MAINTAIN. | 57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED NO PROOF OF TRAINING FOR ALL FOOD HANDLERS. INSTRUCTED TO PROVIDE AND MAINTAIN RECORDS AT ALL TIMES. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED NO CERTIFIED FOOD MANAGER WITH ALLERGEN TRAINING. INSTRUCTED ANY PERSONS WITH THE CITY OF CHICAGO FOOD SANITATION CERTIFICATE TO COMPLY WITH THE COMPLETION OF TRAINING. MUST PROVIDES DOCUMENTATION. | 61. SUMMARY REPORT DISPLAYED AND VISIBLE TO THE PUBLIC - Comments: 'OBSERVED NO INSPECTION REPORT SUMMARY POSTED ON THE PREMISES. MANAGEMENT WAS GIVEN A COPY OF TODAY'S INSPECTION REPORT AND WAS INSTRUCTED TO POST IT IN PUBLIC VIEW. PRIORITY FOUNDATION 7-42-010(B). CITATION ISSUED.
4th row49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED ALL HEAVY EQUIPMENT, INCLUDING PREP TABLES, IN-PLACE MIXER INSIDE SALAD COOLING UNIT, AND FRYERS BINS STORED THROUGHOUT THE FRONT PREP AREA WITH ACCUMULATED AMOUNTS OF DRIED FOOD DEBRIS AND SAUCE SPLATTER ON SURFACES. INSTRUCTED TO CLEAN AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: 5-205.15 OBSERVED SUTILITY SINK LOCATED IN TOILET ROOM IN DISREPAIR, INSTRUCTED TO REPAIR AND MAINTAINED IN GOOD CONDITION. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: 6-304.11 OBSERVED NO VENTILATION IN TOILET ROOM INSTRUCTED TO PROVIDE AND MAINTAIN PROPERLY WORKING
5th row55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED FLOORS IN BASEMENT WITH HOLES AND UNFINISHED. INSTRUCTED MANAGER TO SEAL ALL HOLES IN FLOOR AND ENSURE FLOORS ARE SMOOTH AND EASILY CLEANABLE THROUGHOUT BASEMENT. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED SEVERAL UNUSED ITEMS SUCH AS WOOD PLANKS AND OLD LAMPS IN BASEMENT OF FACILITY. INSTRUCTED MANAGER TO DECLUTTER BASEMENT AND REMOVE ALL UNNECESSARY ITEMS.
ValueCountFrequency (%)
1895006
 
5.2%
and 1709362
 
4.7%
comments 922189
 
2.5%
the 852246
 
2.3%
in 773161
 
2.1%
to 727482
 
2.0%
of 661421
 
1.8%
food 646680
 
1.8%
clean 578216
 
1.6%
must 417593
 
1.1%
Other values (199779) 27410207
74.9%
2024-06-30T09:18:18.294974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37196590
15.3%
E 20081444
 
8.3%
N 14007581
 
5.8%
O 13925153
 
5.7%
A 13549475
 
5.6%
T 13195278
 
5.4%
I 12893886
 
5.3%
R 11870536
 
4.9%
S 10799526
 
4.4%
D 9467713
 
3.9%
Other values (90) 85959849
35.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 242947031
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
37196590
15.3%
E 20081444
 
8.3%
N 14007581
 
5.8%
O 13925153
 
5.7%
A 13549475
 
5.6%
T 13195278
 
5.4%
I 12893886
 
5.3%
R 11870536
 
4.9%
S 10799526
 
4.4%
D 9467713
 
3.9%
Other values (90) 85959849
35.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 242947031
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
37196590
15.3%
E 20081444
 
8.3%
N 14007581
 
5.8%
O 13925153
 
5.7%
A 13549475
 
5.6%
T 13195278
 
5.4%
I 12893886
 
5.3%
R 11870536
 
4.9%
S 10799526
 
4.4%
D 9467713
 
3.9%
Other values (90) 85959849
35.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 242947031
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
37196590
15.3%
E 20081444
 
8.3%
N 14007581
 
5.8%
O 13925153
 
5.7%
A 13549475
 
5.6%
T 13195278
 
5.4%
I 12893886
 
5.3%
R 11870536
 
4.9%
S 10799526
 
4.4%
D 9467713
 
3.9%
Other values (90) 85959849
35.4%

Latitude
Real number (ℝ)

HIGH CORRELATION 

Distinct18314
Distinct (%)6.7%
Missing946
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean41.880574
Minimum41.64467
Maximum42.021064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 MiB
2024-06-30T09:18:18.619975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41.64467
5-th percentile41.726917
Q141.831192
median41.891696
Q341.939768
95-th percentile41.997508
Maximum42.021064
Range0.37639412
Interquartile range (IQR)0.10857598

Descriptive statistics

Standard deviation0.081106686
Coefficient of variation (CV)0.0019366183
Kurtosis-0.35935221
Mean41.880574
Median Absolute Deviation (MAD)0.050728858
Skewness-0.58708226
Sum11444286
Variance0.0065782945
MonotonicityNot monotonic
2024-06-30T09:18:18.936357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.00875077 3351
 
1.2%
41.78932932 801
 
0.3%
41.85045102 621
 
0.2%
41.88418751 600
 
0.2%
41.88199434 595
 
0.2%
41.88743405 486
 
0.2%
41.88807428 382
 
0.1%
41.89209414 378
 
0.1%
41.88458627 377
 
0.1%
41.75466012 349
 
0.1%
Other values (18304) 265320
96.8%
(Missing) 946
 
0.3%
ValueCountFrequency (%)
41.64467013 13
< 0.1%
41.64566748 4
 
< 0.1%
41.64637082 7
 
< 0.1%
41.64655405 2
 
< 0.1%
41.64818878 9
< 0.1%
41.64863829 8
< 0.1%
41.64868838 3
 
< 0.1%
41.64874251 2
 
< 0.1%
41.64881845 3
 
< 0.1%
41.64936399 18
< 0.1%
ValueCountFrequency (%)
42.02106425 27
< 0.1%
42.02086075 17
< 0.1%
42.02080848 16
< 0.1%
42.02075289 7
 
< 0.1%
42.02039924 1
 
< 0.1%
42.02008731 15
< 0.1%
42.01986688 21
< 0.1%
42.01958216 20
< 0.1%
42.019494 5
 
< 0.1%
42.0194929 1
 
< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION 

Distinct18314
Distinct (%)6.7%
Missing946
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean-87.6762
Minimum-87.906874
Maximum-87.525094
Zeros0
Zeros (%)0.0%
Negative273260
Negative (%)99.7%
Memory size2.1 MiB
2024-06-30T09:18:19.245648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.777682
Q1-87.707331
median-87.666316
Q3-87.634853
95-th percentile-87.599068
Maximum-87.525094
Range0.38178
Interquartile range (IQR)0.072478546

Descriptive statistics

Standard deviation0.058266454
Coefficient of variation (CV)-0.00066456408
Kurtosis2.0932992
Mean-87.6762
Median Absolute Deviation (MAD)0.03439783
Skewness-0.97372245
Sum-23958399
Variance0.0033949796
MonotonicityNot monotonic
2024-06-30T09:18:19.538066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.90687413 3351
 
1.2%
-87.74164564 801
 
0.3%
-87.65879786 621
 
0.2%
-87.64111967 600
 
0.2%
-87.63975868 595
 
0.2%
-87.68184949 486
 
0.2%
-87.6349552 382
 
0.1%
-87.61156988 378
 
0.1%
-87.63101045 377
 
0.1%
-87.74138476 349
 
0.1%
Other values (18304) 265320
96.8%
(Missing) 946
 
0.3%
ValueCountFrequency (%)
-87.90687413 3351
1.2%
-87.90675786 3
 
< 0.1%
-87.90530913 14
 
< 0.1%
-87.88270766 2
 
< 0.1%
-87.86695767 1
 
< 0.1%
-87.86302998 25
 
< 0.1%
-87.86237264 9
 
< 0.1%
-87.84631989 13
 
< 0.1%
-87.84631558 2
 
< 0.1%
-87.8463105 1
 
< 0.1%
ValueCountFrequency (%)
-87.52509414 14
< 0.1%
-87.52512485 19
< 0.1%
-87.52571243 4
 
< 0.1%
-87.5258717 20
< 0.1%
-87.5261364 9
< 0.1%
-87.52664793 20
< 0.1%
-87.52667081 14
< 0.1%
-87.52694018 16
< 0.1%
-87.52749847 2
 
< 0.1%
-87.52770401 3
 
< 0.1%
Distinct18314
Distinct (%)6.7%
Missing946
Missing (%)0.3%
Memory size25.1 MiB
2024-06-30T09:18:19.985117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.059313
Min length34

Characters and Unicode

Total characters10673348
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1614 ?
Unique (%)0.6%

Sample

1st row(41.84430121435094, -87.72904239421526)
2nd row(41.967793087217416, -87.7086027049243)
3rd row(41.871853705220325, -87.68603684594997)
4th row(41.88310888895606, -87.65571243188208)
5th row(41.84408262179055, -87.72898370665669)
ValueCountFrequency (%)
42.00875076599798 3351
 
0.6%
87.90687413400109 3351
 
0.6%
41.789329323265385 801
 
0.1%
87.74164564419637 801
 
0.1%
41.85045102427 621
 
0.1%
87.65879785567869 621
 
0.1%
41.884187507127805 600
 
0.1%
87.64111966683218 600
 
0.1%
87.6397586848809 595
 
0.1%
41.88199433820508 595
 
0.1%
Other values (36618) 534584
97.8%
2024-06-30T09:18:20.941160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1105351
10.4%
7 1098599
10.3%
4 1013720
9.5%
1 946783
8.9%
6 928169
8.7%
9 828429
7.8%
5 748697
 
7.0%
2 720076
 
6.7%
3 705458
 
6.6%
0 665246
 
6.2%
Other values (6) 1912820
17.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10673348
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8 1105351
10.4%
7 1098599
10.3%
4 1013720
9.5%
1 946783
8.9%
6 928169
8.7%
9 828429
7.8%
5 748697
 
7.0%
2 720076
 
6.7%
3 705458
 
6.6%
0 665246
 
6.2%
Other values (6) 1912820
17.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10673348
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8 1105351
10.4%
7 1098599
10.3%
4 1013720
9.5%
1 946783
8.9%
6 928169
8.7%
9 828429
7.8%
5 748697
 
7.0%
2 720076
 
6.7%
3 705458
 
6.6%
0 665246
 
6.2%
Other values (6) 1912820
17.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10673348
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8 1105351
10.4%
7 1098599
10.3%
4 1013720
9.5%
1 946783
8.9%
6 928169
8.7%
9 828429
7.8%
5 748697
 
7.0%
2 720076
 
6.7%
3 705458
 
6.6%
0 665246
 
6.2%
Other values (6) 1912820
17.9%

Interactions

2024-06-30T09:17:55.374563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:48.453675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:50.145044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:51.599185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:53.143734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:55.827748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:48.782818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:50.415881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:51.895971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:53.601848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:56.277470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:49.077197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:50.717464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:52.190826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:54.024898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:56.717561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:49.545864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:51.012691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:52.485184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:54.461957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:57.397945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:49.849304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:51.302251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:52.793953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-30T09:17:54.901495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-06-30T09:18:21.217057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Inspection IDLatitudeLicense #LongitudeResultsRiskStateZip
Inspection ID1.0000.0190.4420.0030.1200.0690.000-0.002
Latitude0.0191.000-0.013-0.4200.0350.0621.0000.276
License #0.442-0.0131.0000.0250.0560.0340.000-0.011
Longitude0.003-0.4200.0251.0000.0310.0401.000-0.414
Results0.1200.0350.0560.0311.0000.1190.000-0.017
Risk0.0690.0620.0340.0400.1191.0000.0050.003
State0.0001.0000.0001.0000.0000.0051.000-0.011
Zip-0.0020.276-0.011-0.414-0.0170.003-0.0111.000

Missing values

2024-06-30T09:17:58.369479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-30T09:17:59.946905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-06-30T09:18:01.514641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
02596617DELICIAS MEXICANA RESTAURANTDELICIAS MEXICANA2164181.0RestaurantRisk 1 (High)4148 W 26TH STCHICAGOIL60623.006/20/2024CanvassPass47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED FOOD ITEMS STORED INSIDE GROCERY BAGS IN WALK IN COOLER AND CHEST FREEZER. INSTRUCTED TO PROVIDE FOOD GRADE STORAGE BAGS OR CONTAINERS. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: OBSERVED THE SURROUNDING AREAS OF OUTSIDE RECEPTACLES WITH ACCUMULATED TRASH, INSTRUCTED TO REMOVE AND MAINTAIN AREA.41.844301-87.729042(41.84430121435094, -87.72904239421526)
12596615DARDASHE INC.DARDASHE2971928.0Grocery StoreRisk 1 (High)4738-4746 N KEDZIE AVECHICAGOIL60625.006/20/2024License Re-InspectionPassNaN41.967793-87.708603(41.967793087217416, -87.7086027049243)
22596625FOOD FIRST CHICAGOFOOD FIRST CHICAGO2762429.0CateringRisk 1 (High)741 S WESTERN AVECHICAGOIL60612.006/21/2024CanvassPass38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED AN APPX. 2' x 3' GAP IN THE LEFT CORNER OF THE FRONT ENTRY DOOR, ON THE FLOOR RIGHT BELOW THE BASEBOARD.MUST SEAL TO PREVENT THE PEST ENTRANCE.41.871854-87.686037(41.871853705220325, -87.68603684594997)
32596603THE PRESS ROOMTHE PRESS ROOM2492185.0RestaurantRisk 1 (High)1134 W WASHINGTON BLVDCHICAGOIL60607.006/20/2024CanvassFail1. PERSON IN CHARGE PRESENT, DEMONSTRATES KNOWLEDGE, AND PERFORMS DUTIES - Comments: OBSERVED NO PERSON IN CHARGE WITH VALID CHICAGO FOOD SANITATION CERTIFICATE. | 2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: OBSERVED NO CERTIFIED FOOD MANAGER ON DUTY WHILE TCS FOODS ARE BEING PREPARED, HANDLED, AND SERVED, SUCH AS (OYSTERS, LAMB, AND EGGS) MUST BE ON SITE AT ALL TIMES. PRIORITY FOUNDATION 7-38-012. CITATION ISSUED. | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND WASHING PROVISION AT THE BAR HAND SINK. THE MANAGER ADDED TOWELS DURING THE INSPECTION. PRIORITY FOUNDATION VIOLATION #7-38-030(C). CITATION ISSUED. INSTRUCTED TO MAINTAIN. | 23. PROPER DATE MARKING AND DISPOSITION - Comments: 'OBSERVED READY-TO-EAT, TIME/TEMPERATURE CONTROL FOR SAFETY (TCS) FOODS (DELI MEAT) NOT DATE MARKED TO INDICATE THE PRODUCT'S NAME AND DATE IN WHICH THE FOOD MUST BE SOLD, DISCARDED OR CONSUMED WITHIN 7 DAYS. INSTRUCTED TO PROVIDE PROPER LABELS FOR DATE MARKING AND DISCARD DATE FOR REFRIGERATED, READY-TO-EAT, TCS FOODS HELD OVER 24HRS PLACED IN ALL COLD-HOLDING UNITS. THE MANAGER VOLUNTARILY DISCARDED ALL FOOD THAT WAS NOT DATE-MARKED. PRIORITY FOUNDATION VIOLATION #7-38-005. CITATION ISSUED. | 25. CONSUMER ADVISORY PROVIDED FOR RAW/UNDERCOOKED FOOD - Comments: OBSERVED MENU WITH A FOOTNOTE REMINDER STATEMENT ON THE MENU AND MISSING DISCLOSURE BY ASTERICKS FOR RELATED MENU ITEMS. INSTRUCTED TO PROVIDE BOTH DISCLOSURE STATEMENT AND REMINDER ON THE MENU FOR RAW OR UNCOOKED ANIMAL-BASED FOOD ITEMS OFFERED (EX. RAW OYSTERS AND ITEMS. (REFER TO THE ONLINE CDPH CONSUMER ADVISORY GUIDE). PRIORITY FOUNDATION VIOLATION #7-38-005. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED EVIDENCE OF RODENT ACTIVITY ON THE PREMISES. OBSERVED APPROXIMATELY 10 RAT DROPPINGS ON THE FLOOR NEXT TO THE REAR EXIT DOOR OF THE STORAGE AREA. MANAGEMENT INSTRUCTED TO CLEAN AND REMOVE ALL RODENT DROPPINGS FROM ALL AFFECTED AREAS. ADDITIONAL PEST CONTROL SERVICE IS NEEDED TO ELIMINATE THE PEST ACTIVITY. PRIORITY FOUNDATION #7-38-020(A). CITATION ISSUED. | 39. CONTAMINATION PREVENTED DURING FOOD PREPARATION, STORAGE & DISPLAY - Comments: OBSERVED FOOD CONTAINERS STORED ON THE FLOOR IN THE WALK-IN COOLER, PREP AND STORAGE AREAS. INSTRUCTED MANAGER TO PROPERLY STORE AND PROTECT FOOD ITEMS FROM CONTAMINATION WHILE STORED BY ELEVATING AT LEAST SIX INCHES FROM THE FLOOR ON RAISED SHELVING UNITS. | 48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED NO CHEMICAL TEST KIT AVAILABLE DURING INSPECTION. INSTRUCTED MANAGER TO PROVIDE TEST KIT FOR PROPER CONCENTRATION IN SANITIZING SOLUTIONS. PRIORITY FOUNDATION 7-38-005 CITATION ISSUED. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED HANDSINK IN WINE TASTING WITH SLOW DRAIN. INSTRUCTED TO REPAIR AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED GREASE BUILDUP, FOOD DEBRIS, AND DIRT ON THE FLOOR UNDER COOKING EQUIPMENT, ALONG WALLS, AND IN ALL CORNERS IN PREP, DISH WASHING, AND STORAGE. INSTRUCTED TO CLEAN AND MAINTAIN. | 57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED NO PROOF OF TRAINING FOR ALL FOOD HANDLERS. INSTRUCTED TO PROVIDE AND MAINTAIN RECORDS AT ALL TIMES. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED NO CERTIFIED FOOD MANAGER WITH ALLERGEN TRAINING. INSTRUCTED ANY PERSONS WITH THE CITY OF CHICAGO FOOD SANITATION CERTIFICATE TO COMPLY WITH THE COMPLETION OF TRAINING. MUST PROVIDES DOCUMENTATION. | 61. SUMMARY REPORT DISPLAYED AND VISIBLE TO THE PUBLIC - Comments: 'OBSERVED NO INSPECTION REPORT SUMMARY POSTED ON THE PREMISES. MANAGEMENT WAS GIVEN A COPY OF TODAY'S INSPECTION REPORT AND WAS INSTRUCTED TO POST IT IN PUBLIC VIEW. PRIORITY FOUNDATION 7-42-010(B). CITATION ISSUED.\t41.883109-87.655712(41.88310888895606, -87.65571243188208)
42596591TROHA'S CHICKEN & SHRIMPTROHA'S CHICKEN & SHRIMP1167291.0RestaurantRisk 1 (High)4151 W 26TH STCHICAGOIL60623.006/20/2024Canvass Re-InspectionPass49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED ALL HEAVY EQUIPMENT, INCLUDING PREP TABLES, IN-PLACE MIXER INSIDE SALAD COOLING UNIT, AND FRYERS BINS STORED THROUGHOUT THE FRONT PREP AREA WITH ACCUMULATED AMOUNTS OF DRIED FOOD DEBRIS AND SAUCE SPLATTER ON SURFACES. INSTRUCTED TO CLEAN AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: 5-205.15 OBSERVED SUTILITY SINK LOCATED IN TOILET ROOM IN DISREPAIR, INSTRUCTED TO REPAIR AND MAINTAINED IN GOOD CONDITION. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: 6-304.11 OBSERVED NO VENTILATION IN TOILET ROOM INSTRUCTED TO PROVIDE AND MAINTAIN PROPERLY WORKING41.844083-87.728984(41.84408262179055, -87.72898370665669)
52596596SUPER WAYNE'S BARBECUE AND CAJUN INC.SUPER WAYNE'S BARBECUE AND CAJUN INC.2929599.0RestaurantRisk 1 (High)5401 S WENTWORTH AVECHICAGOIL60609.006/20/2024Complaint Re-InspectionPassNaN41.796235-87.630405(41.796234875219376, -87.63040492438661)
62596548LA FIESTALA FIESTA2856707.0RestaurantRisk 1 (High)4248 S ARCHER AVECHICAGOIL60632.006/20/2024Canvass Re-InspectionPassNaN41.816292-87.700890(41.81629173762001, -87.7008897812118)
72596541VOID CHICAGOVOID CHICAGO2886460.0RestaurantRisk 3 (Low)2937 N MILWAUKEE AVECHICAGOIL60618.006/20/2024License Re-InspectionPassNaN41.934706-87.716414(41.934705675709715, -87.7164143561994)
82596523WOODWOOD2966424.0RestaurantRisk 3 (Low)3335-3337 N HALSTED STCHICAGOIL60657.006/18/2024LicensePassNaN41.942820-87.649214(41.942819898362366, -87.64921416892889)
92596491MiMi's Tacos And French FriesMiMi's Tacos And French Fries2972161.0RestaurantRisk 1 (High)1352 W TAYLOR STCHICAGOIL60607.006/18/2024LicensePassNaN41.869454-87.661338(41.86945393993995, -87.66133829204541)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
274196160279EINSTEIN BROS. BAGELS # 1200EINSTEIN BROS. BAGELS1223709.0RestaurantRisk 1 (High)1549 N WELLS STCHICAGOIL60610.002/25/2010CanvassPass32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. MUST DISCARD AND REPLACE ALL WORN CUTTING BOARDS. | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. DETAIL CLEAN ALL COUNTER TOPS AND CABINETS IN PREP AREAS. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. DETAIL CLEAN FLOORS IN PREP AREAS AND REMOVE FOOD DEBRIS. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. MUST SEAL OPENINGS ALONG WALLS BASE UNDER 3 COMPARTMENT SINK. (OPEINGS UNDER COVING/BASEBOARD) | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: All parts of the food establishment and all parts of the property used in connection with the operation of the establishment shall be kept neat and clean and should not produce any offensive odors. MUST PROVIDE ADDITIONAL SHELVING RACKS IN BASEMENT AND STORE ALL DRY GOODS AND SINGLE SERVICE ITEMS OFF THE FLOOR AT LEAST SIX INCHES.41.910572-87.634545(41.910572111162736, -87.63454539156992)
27419778271MR G'S FOOD & LIQUORMR G'S FOOD & LIQUOR1429.0Grocery StoreRisk 2 (Medium)332-334 E 58TH STCHICAGOIL60637.001/21/2010Complaint-Fire Re-inspectionPass41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: SOME CLUTTER REMAINS IN REAR STORAGE WHERE FIRE OCCURRED. ALL DAMAGED FOOD ITEMS HAVE BEEN REMOVED BUT SOME EQUIPMENT REMAINS ON SITE. REMOVE TO AVOID CLUTTER. SEE COMMENTS BELOW.41.789430-87.617840(41.789429857455325, -87.61784033976139)
274198229220Eurest Dining Services @ Credit Suisse ChicagoCredit Suisse Cafe1488775.0RestaurantRisk 1 (High)227 W MONROE STCHICAGOIL60606.002/11/2010CanvassPass33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. Bottom of prep tables, bread cart & some fan guards of soda coolers need cleaning, due to dust or debris. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. Following need cleaning: floor drains in prep areas, mop sink basin, floors around grease trap. Must maintain. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. Some wall section around handsink & prep tables need cleaning due to dust/food stains.41.880539-87.634592(41.88053924995021, -87.63459246351388)
274199124274KINGS GYROS #2KINGS GYROS #21985223.0RestaurantRisk 1 (High)5233 N MILWAUKEE AVECHICAGOIL60630.001/15/2010LicensePassNaN41.975472-87.767388(41.97547236947101, -87.76738848299047)
27420070342ROSE-ANGELA HALLROSE-ANGELA HALL (ST MARY OF PROVIDENCE)21778.0Long Term CareRisk 1 (High)4200 N AUSTIN AVECHICAGOIL60634.002/26/2010CanvassPass32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. WORN OUT STRIPS IN 2 EXIT DOORS OPPOSITE KITCHEN AND BY THE CHAPEL MUST BE REPLACED,DOORS MUST BE SEALED TO PREVENT ANY INSECTS FROM ENTERING | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. SHELVES UNDERNEATH COOKING EQUIPMENT UNCLEAN,BECOMING RUSTY,MUST DETAIL CLEAN | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. CEILING TILES IN COOKING AREA WITH ACCUMULATED DUST MUST BE CLEAN | 36. LIGHTING: REQUIRED MINIMUM FOOT-CANDLES OF LIGHT PROVIDED, FIXTURES SHIELDED - Comments: All rooms in which food or drink is prepared, or in which utensils are washed, shall be lighted so that a minimum of 50-foot candles of light is available on all work surfaces. LIGHT FIXTURES IN COOKING AREA UNCLEAN,MUST BE CLEAN | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: The flow of air discharged from kitchen fans shall always be through a duct to a point above the roofline. LEAKING PIPE UNDER 2 C SINK IN BLDG 2,APT 7 MUST BE FIXED | 40. REFRIGERATION AND METAL STEM THERMOMETERS PROVIDED AND CONSPICUOUS - Comments: All food establishments that display, prepare, or store potentially hazardous foods shall have calibrated metal stem thermometers, provided and conspicuous, for refrigerated and hot food units. THERMOMETER IN APARTMENTS 5-9 COOLERS MUST BE PROVIDED41.956791-87.777050(41.95679065134189, -87.77705031717367)
27420158228PODHALANKA RESTAURANTPODHALANKA RESTAURANT10559.0RestaurantRisk 1 (High)1549 W DIVISION STCHICAGOIL60642.001/06/2010CanvassFail29. PREVIOUS MINOR VIOLATION(S) CORRECTED 7-42-090 - Comments: A separate and distinct offense shall be deemed to have been committed for each Minor violation that is not corrected upon re-inspection by the health authority.PREVIOUS MINOR VIOLATIONS NOT CORRECTED FROM INSPECTION REPORT#152801 10/08/08 *389 #32 REMOVE OR REPLACE WOOD SHELF ABOVE SINK AREA.,#38 SPLASHGUARD NEEDED AT EXPOSED HANDSINK.MUST BE IN COMPLIANCE. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair.ITEMS ON FLOOR BEHIND COUNTERS NOT ELEVATED 6' OFF FLOOR. | 37. TOILET ROOM DOORS SELF CLOSING: DRESSING ROOMS WITH LOCKERS PROVIDED: COMPLETE SEPARATION FROM LIVING/SLEEPING QUARTERS - Comments: None of the operations connected with food establishments shall be conducted in any room used as living or sleeping quarters. Toilet rooms shall be completely enclosed and shall be vented to the outside air or mechanically ventilated.WOMENS TOILET ROOM IS NOT SELF CLOSING. | 38. VENTILATION: ROOMS AND EQUIPMENT VENTED AS REQUIRED: PLUMBING: INSTALLED AND MAINTAINED - Comments: Ventilation: All plumbing fixtures, such as toilets, sinks, washbasins, etc., must be adequately trapped, vented, and re-vented and properly connected to the sewer in accordance with the plumbing chapter of the Municipal Code of Chicago and the Rules and Regulations of the Board of Health.WATER LEAKING FROM BASE OF FAUCET AT 3 COMP SINK. | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: All parts of the food establishment and all parts of the property used in connection with the operation of the establishment shall be kept neat and clean and should not produce any offensive odors.REMOVE ALL CLUTTER FROM PREMISES.41.903243-87.667062(41.90324286545451, -87.66706204782344)
274202164323ENGLEWOOD MARKETENGLEWOOD MARKET2013411.0Grocery StoreRisk 2 (Medium)6055-6057 S RACINE AVECHICAGOIL60636.002/09/2010License Re-InspectionFail32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: All food and non-food contact equipment and utensils shall be smooth, easily cleanable, and durable, and shall be in good repair. REMOVE MILK CRATES OFF FLOOR AND PROVIDE PROPER SHELVING FOR STORAGE | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: Inspector Comments: All food and non-food contact surfaces of equipment and all food storage utensils shall be thoroughly cleaned and sanitized daily. CLEAN ALL SHELVES BEHIND FRONT COUNTER. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. CLEAN FLOORS UNDER ALL EQUIPMENT ALONG WALLS AND IN ALL CORNERS. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. STORE STOCK AWAY FROM WALLS FOR EASY CLEANING. REPLACE ALL STAINED CEILING TILES | 41. PREMISES MAINTAINED FREE OF LITTER, UNNECESSARY ARTICLES, CLEANING EQUIPMENT PROPERLY STORED - Comments: All parts of the food establishment and all parts of the property used in connection with the operation of the establishment shall be kept neat and clean and should not produce any offensive odors. REMOVE UNUSED EQUIPMENT IN STORAGE AREAS TO PREVENT PEST HARBORAGE41.783451-87.654453(41.78345130683472, -87.65445294657616)
274203124303DUNKIN DONUTS / BASKIN ROBBINSDUNKIN DONUTS / BASKIN ROBBINS74790.0RestaurantRisk 2 (Medium)4045 W LAWRENCE AVECHICAGOIL60630.002/01/2010Short Form ComplaintPass32. FOOD AND NON-FOOD CONTACT SURFACES PROPERLY DESIGNED, CONSTRUCTED AND MAINTAINED - Comments: REMAINS TO BE CORRECTED | 33. FOOD AND NON-FOOD CONTACT EQUIPMENT UTENSILS CLEAN, FREE OF ABRASIVE DETERGENTS - Comments: REMAINS TO BE CORRECTED. | 34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: REMAINS TO BE CORRECTED. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: REMAINS TO BE CORRECTED.41.968112-87.729868(41.96811178658088, -87.72986788251535)
274204164288Mount VernonMount Vernon24601.0SchoolRisk 1 (High)10540 S Morgan (1000W)CHICAGOIL60643.001/22/2010CanvassPass34. FLOORS: CONSTRUCTED PER CODE, CLEANED, GOOD REPAIR, COVING INSTALLED, DUST-LESS CLEANING METHODS USED - Comments: The floors shall be constructed per code, be smooth and easily cleaned, and be kept clean and in good repair. REPLACE DAMAGED FLOOR TILES IN TEACHERS 2ND FLOOR WASHROOM. | 35. WALLS, CEILINGS, ATTACHED EQUIPMENT CONSTRUCTED PER CODE: GOOD REPAIR, SURFACES CLEAN AND DUST-LESS CLEANING METHODS - Comments: The walls and ceilings shall be in good repair and easily cleaned. SEAL OPENINGS ALONG BASEBOARDS IN LUNCHROOM, AROUND PIPE FITTINGS UNDER SINKS IN GIRLS AND BOYS WASHROOMS, AROUND TOILETS AND URINALS IN GIRLS AND BOYS WASHROOMS. REPAIR HAND DRYER IN BOYS 3RD FLOOR WASHROOM. WALLS AND CEILINGS NEED REPAIR IN 1ST FLOOR NORTH HALLWAY, 2ND FLOOR TEACHERS WASHROOM AND LUNCHROOM AREAS(PEELING PAINT, CRACKS,CREVICES,ETC). SEAL OPENINGS ALONG EAST WALL AND BASEBOARDS IN PRE-K ROOM 104. SEAL ALL CRACKS, CREVICES, ETC IN ALL AREAS.41.701967-87.647690(41.701967039658285, -87.64768959181546)
27420558304KENDALL COLLEGELAB KITCHEN B-ROOM 120B.2013962.0SchoolRisk 1 (High)900 N NORTH BRANCH STChicagoIL60642.002/09/2010LicensePassNaN41.898965-87.648090(41.89896533484934, -87.64809026360946)